Reputation: 186
I want to get the following output from Pig Latin / Hadoop
((39,50,60,42,15,Bachelor,Male),5)
((40,35,HS-grad,Male),2)
((39,45,15,30,12,7,HS-grad,Female),6)
from the following data sample data sample for adult data
I have written the following Pig Latin script:
sensitive = LOAD '/mdsba/sample2.csv' using PigStorage(',') as (AGE,EDU,SEX,SALARY);
BV= group sensitive by (EDU,SEX) ;
BVA= foreach BV generate group as EDU, COUNT (sensitive) as dd:long;
Dump BVA ;
Unfortunately, the results come out like this
((Bachelor,Male),5)
((HS-grad,Male),2)
Upvotes: 0
Views: 136
Reputation: 2485
Than try to project the AGE data too. Something like this:
BVA= foreach BV generate
sensitive.AGE as AGE,
FLATTEN(group) as (EDU,SEX),
COUNT(sensitive) as dd:long;
Another suggestion is to specify the datatype when you load the data.
sensitive = LOAD '/mdsba/sample2.csv' using PigStorage(',') as (AGE:int,EDU:chararray,SEX:chararray,SALARY:chararray);
Upvotes: 1